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Data Science and Analytics in Tech ask

Posted more than 30 days ago

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Tech ask

Tech ask

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More than 5 years
Kyiv
Intermediate
Full-time work
We are seeking a highly skilled and versatile individual who embodies both the analytical prowess of a Data Analyst and the technical expertise of a Data Scientist. This unique position will play a pivotal role in developing sophisticated dynamic pricing models, conducting extensive data analysis, and contributing to the overall strategy and success of our data-driven initiatives. Must to have relevant experience with Data Science & Data Analytics at least 5 years Key Responsibilities:Design, de

We are seeking a highly skilled and versatile individual who embodies both the analytical prowess of a Data Analyst and the technical expertise of a Data Scientist. This unique position will play a pivotal role in developing sophisticated dynamic pricing models, conducting extensive data analysis, and contributing to the overall strategy and success of our data-driven initiatives.

 

Must to have relevant experience with Data Science & Data Analytics at least 5 years

 

  • Key Responsibilities:
    • Design, develop, and maintain dynamic pricing models that incorporate a wide range of variables and data sources.
    • Perform exploratory data analysis (EDA) to understand data trends, identify key insights, and recommend actionable strategies.
    • Collaborate with revenue managers, product teams, and stakeholders to gather requirements and translate business needs into technical solutions.
    • Engage in feature engineering to improve model performance and ensure the relevance of recommendations.
    • Conduct data quality assessments, identify gaps, and implement strategies to enhance data integrity.
    • Participate in the design and execution of A/B tests to validate model hypotheses and effectiveness.
  • Essential Skills and Qualifications:
    • Proficient in Python, with a strong preference for candidates with experience in both Python and R.
    • Demonstrated experience with machine learning models, particularly ensemble models like XGBoost and Random Forest, as well as clustering and classification techniques.
    • Solid understanding of AWS, particularly SageMaker, for model development and deployment
    • Experience with SQL and familiarity with data warehousing solutions like Snowflake
  • Desirable Skills:
    • Previous experience in dynamic pricing or recommendation systems.
    • Familiarity with CI/CD practices and experience in model deployment and monitoring.
    • Knowledge of data visualization tools and techniques to effectively communicate insights.

 

 

  • It is required to work full time on 9 am-6 pm English time
More than 5 years
Kyiv
Intermediate
Full-time work
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